| Preprint | |
| Report number | CERN-OPEN-2022-010 |
| Title | Anomaly Detection in Conditioning Procedures |
| Author(s) | Hofmann-Wellenhof, Martin (Graz University of Technology) ; Obermair, Christoph (Graz University of Technology (AT)) |
| Publication | 2022 |
| Collaboration | Graz University of Technology Collaboration |
| Imprint | 16 Feb 2022 |
| Number of pages | 22 |
| Subject category | Engineering |
| Abstract | In this report, we summarize our approach to find anomalies in conditioning procedures with an LSTM autoencoder. The data we used for our analysis was taken from experiments on high DC voltage breakdown between stainless steel electrodes separated by long vacuum gaps conducted at the High Voltage Padova Test Facility. |
| Submitted by | [email protected] |
Datensatz erzeugt am 2022-09-14, letzte Änderung am 2022-09-27
